Update samples to use Ray 2.41.0 images (#2964)

Signed-off-by: Andrew Sy Kim <[email protected]>
ray-project · Feb 7, 2025 · b12a722 · b12a722
1 parent 165a351
commit b12a722
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Showing 5 changed files with 13 additions and 13 deletions.
diff --git a/ray-operator/config/samples/pytorch-mnist/ray-job.pytorch-mnist.yaml b/ray-operator/config/samples/pytorch-mnist/ray-job.pytorch-mnist.yaml
@@ -16,15 +16,15 @@ spec:
 
   # rayClusterSpec specifies the RayCluster instance to be created by the RayJob controller.
   rayClusterSpec:
-    rayVersion: '2.9.0'
+    rayVersion: '2.41.0'
     headGroupSpec:
       rayStartParams: {}
       # Pod template
       template:
         spec:
           containers:
             - name: ray-head
-              image: rayproject/ray:2.9.0
+              image: rayproject/ray:2.41.0
               ports:
                 - containerPort: 6379
                   name: gcs-server
@@ -50,7 +50,7 @@ spec:
           spec:
             containers:
               - name: ray-worker
-                image: rayproject/ray:2.9.0
+                image: rayproject/ray:2.41.0
                 resources:
                   limits:
                     cpu: "3"

diff --git a/...ator/config/samples/pytorch-resnet-image-classifier/ray-job.pytorch-image-classifier.yaml b/...ator/config/samples/pytorch-resnet-image-classifier/ray-job.pytorch-image-classifier.yaml
@@ -16,7 +16,7 @@ spec:
       - transformers>=4.19.1
     working_dir: "https://github.com/ray-project/kuberay/archive/master.zip"
   rayClusterSpec:
-    rayVersion: '2.9.0'
+    rayVersion: '2.41.0'
     headGroupSpec:
       rayStartParams:
         dashboard-host: '0.0.0.0'
@@ -31,7 +31,7 @@ spec:
           serviceAccountName: pytorch-distributed-training
           containers:
             - name: ray-head
-              image: rayproject/ray:2.9.0
+              image: rayproject/ray:2.41.0
               env:
               - name: NUM_WORKERS
                 value: "4"
@@ -85,7 +85,7 @@ spec:
               effect: "NoSchedule"
             containers:
               - name: ray-worker
-                image: rayproject/ray-ml:2.9.0-gpu
+                image: rayproject/ray-ml:2.41.0.021baf-py39
                 resources:
                   limits:
                     cpu: "1"

diff --git a/...operator/config/samples/pytorch-text-classifier/ray-job.pytorch-distributed-training.yaml b/...operator/config/samples/pytorch-text-classifier/ray-job.pytorch-distributed-training.yaml
@@ -15,7 +15,7 @@ spec:
       - pytorch-lightning==1.6.5
     working_dir: "https://github.com/ray-project/kuberay/archive/master.zip"
   rayClusterSpec:
-    rayVersion: '2.9.0'
+    rayVersion: '2.41.0'
     headGroupSpec:
       rayStartParams:
         dashboard-host: '0.0.0.0'
@@ -27,7 +27,7 @@ spec:
             effect: "NoSchedule"
           containers:
             - name: ray-head
-              image: rayproject/ray-ml:2.9.0-gpu
+              image: rayproject/ray-ml:2.41.0.021baf-py311
               ports:
                 - containerPort: 6379
                   name: gcs-server

diff --git a/ray-operator/config/samples/ray-data-image-resize/ray-data-image-resize-gcsfusecsi-job.yaml b/ray-operator/config/samples/ray-data-image-resize/ray-data-image-resize-gcsfusecsi-job.yaml
@@ -27,7 +27,7 @@ spec:
             gke-gcsfuse/volumes: 'true'
         spec:
           containers:
-          - image: rayproject/ray:2.9.3
+          - image: rayproject/ray:2.41.0
             name: ray-head
             ports:
             - containerPort: 6379
@@ -77,7 +77,7 @@ spec:
             gke-gcsfuse/volumes: 'true'
         spec:
           containers:
-          - image: rayproject/ray:2.9.3
+          - image: rayproject/ray:2.41.0
             name: ray-worker
             resources:
               requests:

diff --git a/ray-operator/config/samples/ray-data-image-resize/ray-job.image-resize.yaml b/ray-operator/config/samples/ray-data-image-resize/ray-job.image-resize.yaml
@@ -17,15 +17,15 @@ spec:
       BUCKET_PREFIX: images
   # rayClusterSpec specifies the RayCluster instance to be created by the RayJob controller.
   rayClusterSpec:
-    rayVersion: '2.9.0'
+    rayVersion: '2.41.0'
     headGroupSpec:
       rayStartParams: {}
       # Pod template
       template:
         spec:
           containers:
             - name: ray-head
-              image: rayproject/ray:2.9.0
+              image: rayproject/ray:2.41.0
               ports:
                 - containerPort: 6379
                   name: gcs-server
@@ -51,7 +51,7 @@ spec:
           spec:
             containers:
               - name: ray-worker
-                image: rayproject/ray:2.9.0
+                image: rayproject/ray:2.41.0
                 resources:
                   limits:
                     cpu: "2"